PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-04-02 10:20:46.834373+00:00 (UTC)
In US/Central Time, this is 2024-04-02 05:20:46.834373-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/199d724cca040ab40c2a50fb1bc5789e894a9680cc3f9bea01dcb44892894dd1.png
We are just generating a random time serie here.
../_images/2efd8bb96077b0a37ce307a6662c368278d5a49f7f63dc12daec4bdf975b48a6.png
../_images/e0e075000aa206563f6ddf8ee33ab9e6c8283c76a2a69f5bf2fe81005593cabf.png